Evidence map›Paper›PMID 42630616›Full record

ArticleDose-response : a publication of International Hormesis Society

Red Blood Cell Distribution Width-To-Albumin Ratio and 90-Day Mortality in Sepsis Patients with and Without Sepsis-Induced Coagulopathy: A Retrospective Observational Study Using the MIMIC-IV Database.

Baochang Xie, Yu Cao, Yuanyuan Xiao, Diyang Zhu, Xiaoyu Guan, Guangming Chen

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Article in Dose-response : a publication of International Hormesis Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Baochang XieDepartment of Critical Care Medicine, The Fifth People's Hospital of Ganzhou, Ganzhou, Jiangxi, China.ORCID https://orcid.org/0009-0005-7867-4691
Yu CaoDepartment of Psychiatry, The Third People's Hospital of Ganzhou, Ganzhou, Jiangxi, China.
Yuanyuan XiaoDepartment of Critical Care Medicine, The Fifth People's Hospital of Ganzhou, Ganzhou, Jiangxi, China.
Diyang ZhuDepartment of Critical Care Medicine, The Second People's Hospital of Yudu County, Ganzhou, Jiangxi, China.
Xiaoyu GuanDepartment of Critical Care Medicine, The Second People's Hospital of Yudu County, Ganzhou, Jiangxi, China.
Guangming ChenDepartment of Critical Care Medicine, The Fifth People's Hospital of Ganzhou, Ganzhou, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The red blood cell distribution width-to-albumin ratio (RAR) has emerged as a novel prognostic biomarker in critically ill patients. However, its association with mortality in sepsis patients, particularly in the context of sepsis-induced coagulopathy (SIC), remains unclear. Methods: This retrospective cohort study analyzed adult sepsis patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) version 3.1 database. RAR was calculated from the first laboratory measurements within 24 hours of intensive care unit (ICU) admission. The primary outcome was 90-day all-cause mortality. Cox proportional hazards regression, subgroup analyses, and restricted cubic spline (RCS) regression were performed. Discriminative ability was assessed using receiver operating characteristic (ROC) curves. Results: Of 26,854 patients meeting sepsis criteria, 17,499 were excluded due to missing RDW or albumin data. A total of 9,206 sepsis patients were included, with 5,649 (61.4%) meeting SIC criteria. The overall 90-day mortality was 38.1% (absolute rates: 23.9% in the lowest RAR quartile to 55.5% in the highest). In the fully adjusted model (age, sex, SOFA, Charlson Comorbidity Index, infection source, vasopressor use, mechanical ventilation, renal replacement therapy, and lactate), each unit increase in RAR was associated with a 9% increase in mortality risk (hazard ratio [HR]=1.09, 95% confidence interval [CI]: 1.08-1.10, P<0.001). Compared with the lowest quartile, patients in the highest RAR quartile had a significantly higher mortality risk (HR=2.07, 95% CI: 1.91-2.25). The association remained consistent across subgroups. RCS analysis revealed a significant non-linear exposure-response relationship (P for non-linearity <0.001). DeLong testing confirmed that RAR (AUC=0.648) had statistically significantly higher discriminative ability than SOFA score (AUC=0.613, P<0.001) and SIC score (AUC=0.593, P<0.001) for 90-day mortality, though all AUC values indicated moderate discrimination. Conclusions: Elevated RAR was independently associated with increased 90-day mortality after comprehensive covariate adjustment (highest vs. lowest quartile: HR=2.07, 95% CI: 1.91-2.25), with modest but statistically significant incremental discriminative ability over SOFA and SIC scores. As a biomarker derived from routine blood tests, RAR may complement existing tools for early risk stratification in sepsis. These findings are hypothesis-generating and warrant prospective validation.

Indexed as

MIMIC-IVmortalityprognosisred blood cell distribution width-to-albumin ratiosepsissepsis-induced coagulopathy

Identifiers

PMID42630616
PMCPMC13494315

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